European Institute, London School of Economics
The Problem 1/2
People see why climate matters generally, but not why it matters to them
The Problem 2/2
How can we deliver personalised messages at scale, cost-effectively, and in a way that engages people on a personal level?
We argue that AI – and in particular its personalised content - could influence climate attitudes and overcome some of the limitations of pure information provision.
Key Advantages:
H1: When compared with the control condition (information provision), interacting with the LLM will have a positive effect on all outcomes of interest: a) climate concern, b) policy support, c) pro-environmental behavior, d) conversation spillover, e) political spillover, and f) subjective climate beliefs.
H2: The personalized LLM interaction on climate change will be more persuasive/effective than the non-personalized LLM interaction and the basic information provision on all outcomes of interest.
H3: The personalized LLM interaction on climate change condition will be more persuasive/effective compared to the personalized AI interaction on an unrelated political topic.
Participants are randomized into these conditions:
Control: Standard information provision about climate change
Non-Personalized AI: Generic LLM conversation about climate change
Personalized AI (Unrelated Topic): Personalised AI-driven conversation about a political topic unrelated to climate change
Personalized AI (Climate): Personalised AI-driven conversation about climate change:
Timing and Analysis
Would you like to write a message to your local MP about climate change?
Would you like to learn more about climate change and how to take action?
Would you like to make a donation to a climate NGO?
Any Questions?
The Numbers: